Shuxin Zheng

Orcid: 0000-0001-7828-5374

According to our database¹, Shuxin Zheng authored at least 52 papers between 2016 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

APS: Bias-Controlled Adaptive Prototype Simulation for Population-Scale LLM Agents.

[BibT_eX]

[DOI]

CoRR, May, 2026

FutureWorld: A Live Environment for Training Predictive Agents with Real-World Outcome Rewards.

[BibT_eX]

[DOI]

CoRR, April, 2026

The World Leaks the Future: Harness Evolution for Future Prediction Agents.

[BibT_eX]

[DOI]

CoRR, April, 2026

GUIGuard: Toward a General Framework for Privacy-Preserving GUI Agents.

[BibT_eX]

[DOI]

CoRR, January, 2026

2025

Population-Evolve: a Parallel Sampling and Evolutionary Method for LLM Math Reasoning.

[BibT_eX]

[DOI]

CoRR, December, 2025

Finch: Benchmarking Finance & Accounting across Spreadsheet-Centric Enterprise Workflows.

[BibT_eX]

[DOI]

CoRR, December, 2025

GTM: Simulating the World of Tools for AI Agents.

[BibT_eX]

[DOI]

CoRR, December, 2025

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning.

[BibT_eX]

[DOI]

CoRR, June, 2025

Modeling Earth-Scale Human-Like Societies with One Billion Agents.

[BibT_eX]

[DOI]

CoRR, June, 2025

NatureLM: Deciphering the Language of Nature for Scientific Discovery.

[BibT_eX]

[DOI]

CoRR, February, 2025

2024

Overcoming the barrier of orbital-free density functional theory for molecular systems using deep learning.

[BibT_eX]

[DOI]

Nat. Comput. Sci., 2024

Author Correction: Predicting equilibrium distributions for molecular systems with deep learning.

[BibT_eX]

[DOI]

Nat. Mac. Intell., 2024

Predicting equilibrium distributions for molecular systems with deep learning.

[BibT_eX]

[DOI]

Nat. Mac. Intell., 2024

Towards Generalist Prompting for Large Language Models by Mental Models.

[BibT_eX]

[DOI]

CoRR, 2024

A Cross-Period Network for Clothing Change Person Re-Identification.

[BibT_eX]

[DOI]

IEEE Access, 2024

Bridging Geometric States via Geometric Diffusion Bridge.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

GeoMFormer: A General Architecture for Geometric Molecular Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Multi-view Subspace Clustering Based on Tensor Log-Determinant Minimization Approach.

[BibT_eX]

[DOI]

Shuxin Zheng

Yunjie Zhang

Cuicui Peng

Proceedings of the 2024 the 12th International Conference on Information Technology (ICIT), 2024

A Nonlocal Denoising Framework Based on Tensor Low Rank Representation with Weighted Tensor Schatten p norm.

[BibT_eX]

[DOI]

Cuicui Peng

Yunjie Zhang

Shuxin Zheng

Proceedings of the 2024 the 12th International Conference on Information Technology (ICIT), 2024

2023

Adaptive tourism forecasting using hybrid artificial intelligence model: a case study of Xi'an international tourist arrivals.

[BibT_eX]

[DOI]

Shuxin Zheng

Zhongguo Zhang

PeerJ Comput. Sci., 2023

Invertible Rescaling Network and Its Extensions.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2023

Control Risk for Potential Misuse of Artificial Intelligence in Science.

[BibT_eX]

[DOI]

CoRR, 2023

Inverse Design of Vitrimeric Polymers by Molecular Dynamics and Generative Modeling.

[BibT_eX]

[DOI]

CoRR, 2023

M-OFDFT: Overcoming the Barrier of Orbital-Free Density Functional Theory for Molecular Systems Using Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Molecule Generation For Target Protein Binding with Structural Motifs.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

One Transformer Can Understand Both 2D & 3D Molecular Data.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A New Enhanced Tensor Low Rank Representation Method for Image Denoising.

[BibT_eX]

[DOI]

Cuicui Peng

Yunjie Zhang

Shuxin Zheng

Proceedings of the 9th International Conference on Communication and Information Processing, 2023

2022

Predicting the protein-ligand affinity from molecular dynamics trajectories.

[BibT_eX]

[DOI]

CoRR, 2022

Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets.

[BibT_eX]

[DOI]

CoRR, 2022

Quantized Training of Gradient Boosting Decision Trees.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Your Transformer May Not be as Powerful as You Expect.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Hybrid Medical Causal Inference Platform Based on Data Lake.

[BibT_eX]

[DOI]

Proceedings of the Health Information Science - 11th International Conference, 2022

2021

First Place Solution of KDD Cup 2021 & OGB Large-Scale Challenge Graph Prediction Track.

[BibT_eX]

[DOI]

CoRR, 2021

Do Transformers Really Perform Bad for Graph Representation?

[BibT_eX]

[DOI]

CoRR, 2021

Revisiting Language Encoding in Learning Multilingual Representations.

[BibT_eX]

[DOI]

CoRR, 2021

Do Transformers Really Perform Badly for Graph Representation?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Open Catalyst Challenge 2021: Competition Report.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

How could Neural Networks understand Programs?

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Cross-Iteration Batch Normalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Modeling Lost Information in Lossy Image Compression.

[BibT_eX]

[DOI]

CoRR, 2020

MC-BERT: Efficient Language Pre-Training via a Meta Controller.

[BibT_eX]

[DOI]

CoRR, 2020

On Layer Normalization in the Transformer Architecture.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Invertible Image Rescaling.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

OptQuant: Distributed training of neural networks with optimized quantization mechanisms.

[BibT_eX]

[DOI]

Neurocomputing, 2019

G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Capacity Control of ReLU Neural Networks by Basis-Path Norm.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Optimizing Neural Networks in the Equivalent Class Space.

[BibT_eX]

[DOI]

CoRR, 2018

A Dendritic Neuron Model with Nonlinearity Validation on Istanbul Stock and Taiwan Futures Exchange Indexes Prediction.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Cloud Computing and Intelligence Systems, 2018

2017

Asynchronous Stochastic Gradient Descent with Delay Compensation.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Asynchronous Stochastic Gradient Descent with Delay Compensation for Distributed Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2016

Shuxin Zheng

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...